• DocumentCode
    3641747
  • Title

    An alternative method for cell counting

  • Author

    Akın Özkan;S. Belgin İşgör;Hakan Tora;Pembegül Uyar;Mesude İşcan

  • Author_Institution
    Elektrik ve Elektronik, Mü
  • fYear
    2011
  • fDate
    4/1/2011 12:00:00 AM
  • Firstpage
    1048
  • Lastpage
    1051
  • Abstract
    Cell counts and classification of the cells play an important role in the field of microbiology and cell biology. Although there exists many counting processes for cells of interest in suspension, the most basic cell counting process is performed by a person via the microscope. For counting cells the simplest, widely used and the most economic method is the use of hemocytometer counting. In this study, the hemocytometer counting was used but the the cells were counted by a proposed image based approach. The developed technique herein uses neural network along with the Hough transform.
  • Keywords
    "Signal processing","Conferences","Artificial neural networks","Biomedical imaging","Economics","Digital images","Companies"
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications (SIU), 2011 IEEE 19th Conference on
  • ISSN
    2165-0608
  • Print_ISBN
    978-1-4577-0462-8
  • Type

    conf

  • DOI
    10.1109/SIU.2011.5929834
  • Filename
    5929834